diff --git a/logfire/_internal/json_schema.py b/logfire/_internal/json_schema.py index 441d5b491..18057cba6 100644 --- a/logfire/_internal/json_schema.py +++ b/logfire/_internal/json_schema.py @@ -68,7 +68,7 @@ def type_to_schema() -> dict[type[Any], JsonDict | Callable[[Any, set[int]], Jso pydantic.NameEmail: {'type': 'string', 'x-python-datatype': 'NameEmail'}, pydantic.SecretStr: {'type': 'string', 'x-python-datatype': 'SecretStr'}, pydantic.SecretBytes: {'type': 'string', 'x-python-datatype': 'SecretBytes'}, - pydantic.AnyUrl: {'type': 'string', 'x-python-datatype': 'Url'}, + pydantic.AnyUrl: {'type': 'string', 'x-python-datatype': 'AnyUrl'}, pydantic.BaseModel: _pydantic_model_schema, } ) diff --git a/tests/test_json_args.py b/tests/test_json_args.py index 360425c2d..8ec326c1e 100644 --- a/tests/test_json_args.py +++ b/tests/test_json_args.py @@ -156,6 +156,9 @@ class StrSubclass(str): pass +ANYURL_REPR_CLASSNAME = repr(AnyUrl('http://test.com')).split('(')[0] + + @pytest.mark.parametrize( 'value,value_repr,value_json,json_schema', [ @@ -489,26 +492,26 @@ class StrSubclass(str): ), pytest.param( MyModel(x='x', y=10, u=AnyUrl('http://test.com')), - "x='x' y=10 u=Url('http://test.com/')", + f"x='x' y=10 u={ANYURL_REPR_CLASSNAME}('http://test.com/')", '{"x":"x","y":10,"u":"http://test.com/"}', { 'type': 'object', 'title': 'MyModel', 'x-python-datatype': 'PydanticModel', - 'properties': {'u': {'type': 'string', 'x-python-datatype': 'Url'}}, + 'properties': {'u': {'type': 'string', 'x-python-datatype': ANYURL_REPR_CLASSNAME}}, }, id='pydantic_model', ), pytest.param( MyModel.model_validate(dict(x='x', y=10, u='http://test.com', extra_key=MyDataclass(10))), - "x='x' y=10 u=Url('http://test.com/')", + f"x='x' y=10 u={ANYURL_REPR_CLASSNAME}('http://test.com/')", '{"x":"x","y":10,"u":"http://test.com/","extra_key":{"t":10}}', { 'type': 'object', 'title': 'MyModel', 'x-python-datatype': 'PydanticModel', 'properties': { - 'u': {'type': 'string', 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